Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use mina1369/my_intent_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mina1369/my_intent_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mina1369/my_intent_classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mina1369/my_intent_classification_model") model = AutoModelForAudioClassification.from_pretrained("mina1369/my_intent_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04cefea6ac7960b61ebd9c15d8de5a50b64fa883c781d86d5cb5e227098b8db6
- Size of remote file:
- 4.6 kB
- SHA256:
- 4aa1ae39beaf214cf9e6d9f6d064b1d3d375593cfb0b4ea8238bce9fd3b09b3b
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